package main
import "flag"
+import "fmt"
import "json"
import "os"
-import "fmt"
+import "strings"
+
+var funds = flag.Int("funds", 0,
+ "Starting funds")
+
+var start = flag.String("start", "",
+ "The planet to start at")
+
+var flight_plan_string = flag.String("flight_plan", "",
+ "Your hidey-holes for the day, comma-separated.")
-var datafile = flag.String("planet_data_file", "planet-data",
+var end = flag.String("end", "",
+ "A comma-separated list of acceptable ending planets.")
+
+var planet_data_file = flag.String("planet_data_file", "planet-data",
"The file to read planet data from")
-type planet_data struct {
- Commodities []struct {
- Name string
- BasePrice int
- CanSell bool
- Limit int
+var fuel = flag.Int("fuel", 16, "Reactor units")
+
+var hold = flag.Int("hold", 300, "Size of your cargo hold")
+
+var start_edens = flag.Int("start_edens", 0,
+ "How many Eden Warp Units are you starting with?")
+
+var end_edens = flag.Int("end_edens", 0,
+ "How many Eden Warp Units would you like to keep (not use)?")
+
+var cloak = flag.Bool("cloak", false,
+ "Make sure to end with a Device of Cloaking")
+
+var drones = flag.Int("drones", 0, "Buy this many Fighter Drones")
+
+var batteries = flag.Int("batteries", 0, "Buy this many Shield Batterys")
+
+var visit_string = flag.String("visit", "",
+ "A comma-separated list of planets to make sure to visit")
+
+func visit() []string {
+ if *visit_string == "" {
+ return []string{}
}
- Planets []struct {
- Name string
- BeaconOn bool
- /* Use relative prices rather than absolute prices because you
- can get relative prices without traveling to each planet. */
- RelativePrices []struct {
- Name string
- Value int
- }
+ return strings.Split(*visit_string, ",")
+}
+
+func flight_plan() []string {
+ if *flight_plan_string == "" {
+ return []string{}
}
+ return strings.Split(*flight_plan_string, ",")
+}
+
+type Commodity struct {
+ BasePrice int
+ CanSell bool
+ Limit int
+}
+type Planet struct {
+ BeaconOn bool
+ /* Use relative prices rather than absolute prices because you
+ can get relative prices without traveling to each planet. */
+ RelativePrices map[string]int
+}
+type planet_data struct {
+ Commodities map[string]Commodity
+ Planets map[string]Planet
+ p2i, c2i map[string]int // Generated; not read from file
+ i2p, i2c []string // Generated; not read from file
}
func ReadData() (data planet_data) {
- f, err := os.Open(*datafile)
+ f, err := os.Open(*planet_data_file)
if err != nil {
panic(err)
}
return
}
+/* This program operates by filling in a state table representing the best
+ * possible trips you could make; the ones that makes you the most money.
+ * This is feasible because we don't look at all the possible trips.
+ * We define a list of things that are germane to this game and then only
+ * consider the best outcome in each possible game state.
+ *
+ * Each cell in the table represents a state in the game. In each cell,
+ * we track two things: 1. the most money you could possibly have while in
+ * that state and 2. one possible way to get into that state with that
+ * amount of money.
+ *
+ * A basic analysis can be done with a two-dimensional table: location and
+ * fuel. planeteer-1.0 used this two-dimensional table. This version
+ * adds features mostly by adding dimensions to this table.
+ *
+ * Note that the sizes of each dimension are data driven. Many dimensions
+ * collapse to one possible value (ie, disappear) if the corresponding
+ * feature is not enabled.
+ *
+ * The order of the dimensions in the list of constants below determines
+ * their layout in RAM. The cargo-based 'dimensions' are not completely
+ * independent -- some combinations are illegal and not used. They are
+ * handled as three dimensions rather than one for simplicity. Placing
+ * these dimensions first causes the unused cells in the table to be
+ * grouped together in large blocks. This keeps them from polluting
+ * cache lines, and if they are large enough, prevent the memory manager
+ * from allocating pages for these areas at all.
+ *
+ * If the table gets too big to fit in RAM:
+ * * Combine the Edens, Cloaks, and UnusedCargo dimensions. Of the
+ * 24 combinations, only 15 are legal: a 38% savings.
+ * * Reduce the size of the Fuel dimension to 3. We only ever look
+ * backwards 2 units, so just rotate the logical values through
+ * the same 3 physical addresses. This is good for an 82% savings.
+ * * Reduce the size of the Edens dimension from 3 to 2, for the
+ * same reasons as Fuel above. 33% savings.
+ * * Buy more ram. (Just sayin'. It's cheaper than you think.)
+ *
+ */
+
+// The official list of dimensions:
+const (
+ // Name Num Size Description
+ Edens = iota // 1 3 # of Eden warp units (0 - 2 typically)
+ Cloaks // 2 2 # of Devices of Cloaking (0 or 1)
+ UnusedCargo // 3 4 # of unused cargo spaces (0 - 3 typically)
+ Fuel // 4 17 Reactor power left (0 - 16)
+ Location // 5 26 Location (which planet)
+ Hold // 6 15 Cargo bay contents (a *Commodity or nil)
+ NeedFighters // 7 2 Errand: Buy fighter drones (needed or not)
+ NeedShields // 8 2 Errand: Buy shield batteries (needed or not)
+ Visit // 9 2**N Visit: Stop by these N planets in the route
+
+ NumDimensions
+)
+
+func bint(b bool) int {
+ if b {
+ return 1
+ }
+ return 0
+}
+
+func DimensionSizes(data planet_data) []int {
+ eden_capacity := data.Commodities["Eden Warp Units"].Limit
+ if *start_edens > eden_capacity {
+ eden_capacity = *start_edens
+ }
+ cloak_capacity := bint(*cloak)
+ dims := make([]int, NumDimensions)
+ dims[Edens] = eden_capacity + 1
+ dims[Cloaks] = cloak_capacity + 1
+ dims[UnusedCargo] = eden_capacity + cloak_capacity + 1
+ dims[Fuel] = *fuel + 1
+ dims[Location] = len(data.Planets)
+ dims[Hold] = len(data.Commodities) + 1
+ dims[NeedFighters] = bint(*drones > 0) + 1
+ dims[NeedShields] = bint(*batteries > 0) + 1
+ dims[Visit] = 1 << uint(len(visit()))
+
+ // Remind myself to add a line above when adding new dimensions
+ for i, dim := range dims {
+ if dim < 1 {
+ panic(i)
+ }
+ }
+ return dims
+}
+
+func StateTableSize(dims []int) int {
+ product := 1
+ for _, size := range dims {
+ product *= size
+ }
+ return product
+}
+
+type State struct {
+ value, from int
+}
+
+func EncodeIndex(dims, addr []int) int {
+ index := addr[0]
+ if addr[0] > dims[0] {
+ panic(0)
+ }
+ for i := 1; i < NumDimensions; i++ {
+ if addr[i] > dims[i] {
+ panic(i)
+ }
+ index = index*dims[i] + addr[i]
+ }
+ return index
+}
+
+func DecodeIndex(dims []int, index int) []int {
+ addr := make([]int, NumDimensions)
+ for i := NumDimensions - 1; i > 0; i-- {
+ addr[i] = index % dims[i]
+ index /= dims[i]
+ }
+ addr[0] = index
+ return addr
+}
+
+func InitializeStateTable(data planet_data, dims []int) []State {
+ table := make([]State, StateTableSize(dims))
+
+ addr := make([]int, NumDimensions)
+ addr[Fuel] = *fuel
+ addr[Edens] = *start_edens
+ addr[Location] = data.p2i[*start]
+ table[EncodeIndex(dims, addr)].value = *funds
+
+ return table
+}
+
+/* These four fill procedures fill in the cell at address addr by
+ * looking at all the possible ways to reach this cell and selecting
+ * the best one.
+ *
+ * The other obvious implementation choice is to do this the other way
+ * around -- for each cell, conditionally overwrite all the other cells
+ * that are reachable *from* the considered cell. We choose gathering
+ * reads over scattering writes to avoid having to take a bunch of locks.
+ */
+
+func UpdateCell(table []State, here, there, value_difference int) {
+ possible_value := table[there].value + value_difference
+ if table[there].value > 0 && possible_value > table[here].value {
+ table[here].value = possible_value
+ table[here].from = there
+ }
+}
+
+func FillCellByArriving(data planet_data, dims []int, table []State, addr []int) {
+ my_index := EncodeIndex(dims, addr)
+ other := make([]int, NumDimensions)
+ copy(other, addr)
+
+ /* Travel here via a 2-fuel unit jump */
+ if addr[Fuel]+2 < dims[Fuel] {
+ other[Fuel] = addr[Fuel] + 2
+ for other[Location] = 0; other[Location] < dims[Location]; other[Location]++ {
+ UpdateCell(table, my_index, EncodeIndex(dims, other), 0)
+ }
+ other[Location] = addr[Location]
+ other[Fuel] = addr[Fuel]
+ }
+
+ /* Travel here via a hidey hole */
+ if addr[Fuel]+1 < dims[Fuel] {
+ hole_index := (dims[Fuel] - 1) - (addr[Fuel] + 1)
+ if hole_index < len(flight_plan()) && addr[Location] == data.p2i[flight_plan()[hole_index]] {
+ other[Fuel] = addr[Fuel] + 1
+ for other[Location] = 0; other[Location] < dims[Location]; other[Location]++ {
+ UpdateCell(table, my_index, EncodeIndex(dims, other), 0)
+ }
+ other[Location] = addr[Location]
+ other[Fuel] = addr[Fuel]
+ }
+ }
+
+ /* Travel here via Eden Warp Unit */
+ for other[Edens] = addr[Edens] + 1; other[Edens] < dims[Edens]; other[Edens]++ {
+ for other[Location] = 0; other[Location] < dims[Location]; other[Location]++ {
+ UpdateCell(table, my_index, EncodeIndex(dims, other), 0)
+ }
+ }
+ other[Location] = addr[Location]
+ other[Edens] = addr[Edens]
+}
+
+func FillCellBySelling(data planet_data, dims []int, table []State, addr []int) {
+ if addr[Hold] > 0 {
+ // Can't sell and still have cargo
+ return
+ }
+ if addr[UnusedCargo] > 0 {
+ // Can't sell everything and still have 'unused' holds
+ return
+ }
+ my_index := EncodeIndex(dims, addr)
+ other := make([]int, NumDimensions)
+ copy(other, addr)
+ planet := data.i2p[addr[Location]]
+ for other[Hold] = 0; other[Hold] < dims[Hold]; other[Hold]++ {
+ commodity := data.i2c[other[Hold]]
+ if !data.Commodities[commodity].CanSell {
+ // TODO: Dump cargo
+ continue
+ }
+ relative_price, available := data.Planets[planet].RelativePrices[commodity]
+ if !available {
+ continue
+ }
+ base_price := data.Commodities[commodity].BasePrice
+ absolute_price := float64(base_price) * float64(relative_price) / 100.0
+ sell_price := int(absolute_price * 0.9)
+
+ for other[UnusedCargo] = 0; other[UnusedCargo] < dims[UnusedCargo]; other[UnusedCargo]++ {
+
+ quantity := *hold - (other[UnusedCargo] + other[Cloaks] + other[Edens])
+ sale_value := quantity * sell_price
+ UpdateCell(table, my_index, EncodeIndex(dims, other), sale_value)
+ }
+ }
+ other[UnusedCargo] = addr[UnusedCargo]
+}
+
+func FillCellByBuying(data planet_data, dims []int, table []State, addr []int) {
+ if addr[Hold] == 0 {
+ // Can't buy and then have nothing
+ return
+ }
+ my_index := EncodeIndex(dims, addr)
+ other := make([]int, NumDimensions)
+ copy(other, addr)
+ planet := data.i2p[addr[Location]]
+ commodity := data.i2c[addr[Hold]]
+ if !data.Commodities[commodity].CanSell {
+ return
+ }
+ relative_price, available := data.Planets[planet].RelativePrices[commodity]
+ if !available {
+ return
+ }
+ base_price := data.Commodities[commodity].BasePrice
+ absolute_price := int(float64(base_price) * float64(relative_price) / 100.0)
+ quantity := *hold - (addr[UnusedCargo] + addr[Cloaks] + addr[Edens])
+ total_price := quantity * absolute_price
+ other[Hold] = 0
+ other[UnusedCargo] = 0
+ UpdateCell(table, my_index, EncodeIndex(dims, other), -total_price)
+ other[UnusedCargo] = addr[UnusedCargo]
+ other[Hold] = addr[Hold]
+}
+
+func FillCellByMisc(data planet_data, dims []int, table []State, addr []int) {
+ my_index := EncodeIndex(dims, addr)
+ other := make([]int, NumDimensions)
+ copy(other, addr)
+ /* Buy Eden warp units */
+ /* Buy a Device of Cloaking */
+ if addr[Cloaks] == 1 && addr[UnusedCargo] < dims[UnusedCargo]-1 {
+ relative_price, available := data.Planets[data.i2p[addr[Location]]].RelativePrices["Device Of Cloakings"]
+ if available {
+ absolute_price := int(float64(data.Commodities["Device Of Cloakings"].BasePrice) * float64(relative_price) / 100.0)
+ other[Cloaks] = 0
+ if other[Hold] != 0 {
+ other[UnusedCargo] = addr[UnusedCargo] + 1
+ }
+ UpdateCell(table, my_index, EncodeIndex(dims, other), -absolute_price)
+ other[UnusedCargo] = addr[UnusedCargo]
+ other[Cloaks] = addr[Cloaks]
+ }
+ }
+ /* Silly: Dump a Device of Cloaking */
+ /* Buy Fighter Drones */
+ /* Buy Shield Batteries */
+ /* Visit this planet */
+}
+
+func FillStateTable2Iteration(data planet_data, dims []int, table []State,
+addr []int, f func(planet_data, []int, []State, []int)) {
+ /* TODO: Justify the safety of the combination of this dimension
+ * iteration and the various phases f. */
+ for addr[Hold] = 0; addr[Hold] < dims[Hold]; addr[Hold]++ {
+ for addr[Cloaks] = 0; addr[Cloaks] < dims[Cloaks]; addr[Cloaks]++ {
+ for addr[UnusedCargo] = 0; addr[UnusedCargo] < dims[UnusedCargo]; addr[UnusedCargo]++ {
+ for addr[NeedFighters] = 0; addr[NeedFighters] < dims[NeedFighters]; addr[NeedFighters]++ {
+ for addr[NeedShields] = 0; addr[NeedShields] < dims[NeedShields]; addr[NeedShields]++ {
+ for addr[Visit] = 0; addr[Visit] < dims[Visit]; addr[Visit]++ {
+ f(data, dims, table, addr)
+ }
+ }
+ }
+ }
+ }
+ }
+}
+
+func FillStateTable2(data planet_data, dims []int, table []State,
+fuel_remaining, edens_remaining int, planet string, barrier chan<- bool) {
+ addr := make([]int, len(dims))
+ addr[Edens] = edens_remaining
+ addr[Fuel] = fuel_remaining
+ addr[Location] = data.p2i[planet]
+ FillStateTable2Iteration(data, dims, table, addr, FillCellByArriving)
+ FillStateTable2Iteration(data, dims, table, addr, FillCellBySelling)
+ FillStateTable2Iteration(data, dims, table, addr, FillCellByBuying)
+ FillStateTable2Iteration(data, dims, table, addr, FillCellByMisc)
+ barrier <- true
+}
+
+/* Filling the state table is a set of nested for loops NumDimensions deep.
+ * We split this into two procedures: 1 and 2. #1 is the outer, slowest-
+ * changing indexes. #1 fires off many calls to #2 that run in parallel.
+ * The order of the nesting of the dimensions, the order of iteration within
+ * each dimension, and where the 1 / 2 split is placed are carefully chosen
+ * to make this arrangement safe.
+ *
+ * Outermost two layers: Go from high-energy states (lots of fuel, edens) to
+ * low-energy state. These must be processed sequentially and in this order
+ * because you travel through high-energy states to get to the low-energy
+ * states.
+ *
+ * Third layer: Planet. This is a good layer to parallelize on. There's
+ * high enough cardinality that we don't have to mess with parallelizing
+ * multiple layers for good utilization (on 2011 machines). Each thread
+ * works on one planet's states and need not synchronize with peer threads.
+ */
+func FillStateTable1(data planet_data, dims []int, table []State) {
+ barrier := make(chan bool, len(data.Planets))
+ eden_capacity := data.Commodities["Eden Warp Units"].Limit
+ work_units := (float64(*fuel) + 1) * (float64(eden_capacity) + 1)
+ work_done := 0.0
+ for fuel_remaining := *fuel; fuel_remaining >= 0; fuel_remaining-- {
+ for edens_remaining := eden_capacity; edens_remaining >= 0; edens_remaining-- {
+ for planet := range data.Planets {
+ go FillStateTable2(data, dims, table, fuel_remaining,
+ edens_remaining, planet, barrier)
+ }
+ for _ = range data.Planets {
+ <-barrier
+ }
+ work_done++
+ print(fmt.Sprintf("\r%3.0f%%", 100*work_done/work_units))
+ }
+ }
+ print("\n")
+}
+
+func FindBestState(data planet_data, dims []int, table []State) int {
+ addr := make([]int, NumDimensions)
+ addr[Edens] = *end_edens
+ addr[Cloaks] = dims[Cloaks] - 1
+ addr[NeedFighters] = dims[NeedFighters] - 1
+ addr[NeedShields] = dims[NeedShields] - 1
+ addr[Visit] = dims[Visit] - 1
+ // Fuel, Hold, UnusedCargo left at 0
+ max_index := -1
+ max_value := 0
+ for addr[Location] = 0; addr[Location] < dims[Location]; addr[Location]++ {
+ index := EncodeIndex(dims, addr)
+ if table[index].value > max_value {
+ max_value = table[index].value
+ max_index = index
+ }
+ }
+ return max_index
+}
+
+func Commas(n int) (s string) {
+ r := n % 1000
+ n /= 1000
+ for n > 0 {
+ s = fmt.Sprintf(",%03d", r) + s
+ r = n % 1000
+ n /= 1000
+ }
+ s = fmt.Sprint(r) + s
+ return
+}
+
+func DescribePath(data planet_data, dims []int, table []State, start int) (description []string) {
+ for index := start; index > 0 && table[index].from > 0; index = table[index].from {
+ line := fmt.Sprintf("%13v", Commas(table[index].value))
+ addr := DecodeIndex(dims, index)
+ prev := DecodeIndex(dims, table[index].from)
+ if addr[Location] != prev[Location] {
+ from := data.i2p[prev[Location]]
+ to := data.i2p[addr[Location]]
+ if addr[Fuel] != prev[Fuel] {
+ line += fmt.Sprintf(" Jump from %v to %v (%v reactor units)", from, to, prev[Fuel]-addr[Fuel])
+ } else if addr[Edens] != prev[Edens] {
+ line += fmt.Sprintf(" Eden warp from %v to %v", from, to)
+ } else {
+ panic("Traveling without fuel?")
+ }
+ }
+ if addr[Hold] != prev[Hold] {
+ if addr[Hold] == 0 {
+ quantity := *hold - (prev[UnusedCargo] + prev[Edens] + prev[Cloaks])
+ line += fmt.Sprintf(" Sell %v %v", quantity, data.i2c[prev[Hold]])
+ } else if prev[Hold] == 0 {
+ quantity := *hold - (addr[UnusedCargo] + addr[Edens] + addr[Cloaks])
+ line += fmt.Sprintf(" Buy %v %v", quantity, data.i2c[addr[Hold]])
+ } else {
+ panic("Switched cargo?")
+ }
+
+ }
+ if addr[Cloaks] == 1 && prev[Cloaks] == 0 {
+ // TODO: Dump cloaks, convert from cargo?
+ line += " Buy a Cloak"
+ }
+ description = append(description, line)
+ }
+ return
+}
+
+// (Example of a use case for generics in Go)
+func IndexPlanets(m *map[string]Planet, start_at int) (map[string]int, []string) {
+ e2i := make(map[string]int, len(*m)+start_at)
+ i2e := make([]string, len(*m)+start_at)
+ i := start_at
+ for e := range *m {
+ e2i[e] = i
+ i2e[i] = e
+ i++
+ }
+ return e2i, i2e
+}
+func IndexCommodities(m *map[string]Commodity, start_at int) (map[string]int, []string) {
+ e2i := make(map[string]int, len(*m)+start_at)
+ i2e := make([]string, len(*m)+start_at)
+ i := start_at
+ for e := range *m {
+ e2i[e] = i
+ i2e[i] = e
+ i++
+ }
+ return e2i, i2e
+}
+
func main() {
flag.Parse()
data := ReadData()
- fmt.Printf("%v", data)
+ data.p2i, data.i2p = IndexPlanets(&data.Planets, 0)
+ data.c2i, data.i2c = IndexCommodities(&data.Commodities, 1)
+ dims := DimensionSizes(data)
+ table := InitializeStateTable(data, dims)
+ FillStateTable1(data, dims, table)
+ best := FindBestState(data, dims, table)
+ if best == -1 {
+ print("Cannot acheive success criteria\n")
+ } else {
+ description := DescribePath(data, dims, table, best)
+ for i := len(description) - 1; i >= 0; i-- {
+ fmt.Println(description[i])
+ }
+ }
}
projects / planeteer / blobdiff